Jupyter Notebook Basics

Tips for productivity and best practices.

Curriculum

About this course

About this course

With Jupyter Notebook, you can create and share documents containing live code, equations, and visualizations. In this course, you’ll get an intro to Jupyter Notebooks, as well as tips for reproducibility, revision control, and debugging. Learn about useful extensions that help you format your code, merge and export your notebooks, and more. Plus, get an overview of Anaconda's notebook service.

To open Anaconda Notebooks:

  1. Go to https://anaconda.cloud
  2. Click on 'Notebooks' from the top navigation menu
  3. Create an account or login if you already have one

About the Instructor

Albert DeFusco is a data scientist who also does some development, analytics, DevOps, predictive modeling, and MLOps. He specializes in scientific and high-performance computing and has taught introductory and advanced data science topics, using Anaconda products and open-source packages in many different industries and sectors. He holds a Ph.D. in theoretical chemistry.

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